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planar optical waveguide structure. The current project focuses on advancing a surface-sensitive, label-free waveguide scattering microscopy (WGSM) platform for nanoparticle characterization in advanced
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characterisation on the structural, physical and chemical features to enable a deeper understanding of structure-processing-properties relationships. In this position you will do research in several projects and be
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). The position will focus on using AI, particularly multimodal transformer-based deep learning models, to extract and leverage information from genomic and chemical structures. Applications include infectious
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, or knowledge graph construction. Familiarity with gene regulatory network inference or multi-omics data integration. Background in metabolic engineering, microbial physiology, or industrial biotechnology
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in composting. A relevant part of the project will be the overall material characterisation on the structural, physical and chemical features to enable a deeper understanding of structure-processing
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optical waveguide structure. The current project focuses on advancing a surface-sensitive, label-free waveguide scattering microscopy (WGSM) platform for nanoparticle characterization in advanced therapies
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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chemical structure that influences nucleation and growth mechanisms. The project will explore whether different types of solvents can induce distinct particle shapes during pulsed electrodeposition. In
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UnitedKingdomTime) Position Description: Apply Position Description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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interdisciplinarity: it combines both, experimental and theoretical expertise, spanning from the investigation of surface plasmons and the design of nano-structured catalyst materials to density functional theory